METHODS: In this retrospective cross-sectional study, patients aged ≥65 years intubated at the ED of University of Malaya Medical Centre, Kuala Lumpur, Malaysia, from 2015 to 2019 were studied. The association between age, gender, place of inhabitation, Identification of Seniors at Risk (ISAR) score for frailty, Charlson Comorbidity Index (CCI), Acute Physiology and Chronic Health Evaluation-II (APACHE-II) score, indication for intubation, and diagnosis on admission with in-hospital mortality (primary outcome) and duration of ventilation, and length of stay (secondary outcomes) were evaluated using univariate analysis and Cox's regression survival analysis.
RESULTS: 889 cases aged 65 years and above were studied (61.5% male). The rate of in-hospital mortality was 71.4%. There was a significant association between age (p < 0.001), nursing home residency (p = 0.008), CCI≥ 5 (p = 0.001), APACHE-II (p < 0.001), pre-intubation Glasgow Coma Scale (GCS) (p < 0.001), cardiac arrest as indication of intubation (p < 0.001), diagnosis on admission (p < 0.001), length of stay (p < 0.001), and length of ventilation (p = 0.003) and in-hospital mortality. Age ≥ 85 years (HR= 1.270; 95%CI=1.074 to 1.502) and 75 to 84 years (HR=1.642; 95%CI=1.167 to 2.076), cardiac arrest as indication of intubation (HR: 1.882; 95% CI: 1.554 - 2.279), and APACHE-II scores 25 - 34 (HR: 1.423; 95% CI: 1.171 - 1.730) and ≥ 35 (HR: 1.789; 95%CI: 1.418 - 2.256) were amongst the independent predictive factors of in-hospital mortality.
CONCLUSION: Nearly three out of four individuals aged ≥65 years intubated at the ED died during the same admission. Older age, cardiac arrest as indication of intubation, and APACHE-II score were independent predictors of in-hospital mortality.
METHODS: We systematically searched three main electronic databases in May 2023 for all English-language qualitative and quantitative publications that suggested or described at least one QI related to pediatric asthma care in the ED. Two reviewers independently selected the included studies and extracted data on study characteristics, all relevant QIs reported, and the rates of compliance with these indicators when available. The identified QIs were classified according to Donabedian healthcare quality framework and the Institute of Medicine (IOM) framework. When feasible, we aggregated the compliance rates for the QIs reported in observational studies using random effects models. The quality assessment of the included studies was performed using various Joanna Briggs Institute (JBI) tools.
RESULTS: We identified twenty studies, including six expert panels, 13 observational studies, and one trial. Together, these studies presented 129 QIs for use in EDs managing pediatric asthma. Among these QIs, 66 were pinpointed by expert panel studies, whereas 63 were derived from observational studies. Within the Donabedian framework, most indicators (86.8%) concentrated on the process of care. In contrast, within the Institute of Medicine (IOM) domain, the predominant focus was on indicators related to effectiveness and safety. Observational studies reported varying compliance rates for the 36 QIs identified in the expert studies. The included studies showed a wide range of bias risks, suggesting potential methodological variances.
CONCLUSIONS: A significant number of QIs in pediatric asthma care have been proposed or documented in literature. Although most of these indicators prioritize the process of care, there is a conspicuous absence of outcome and structure indicators. This meta-analysis uncovered significant disparities in compliance to the identified QIs, highlighting the urgent necessity for targeted interventions to enhance pediatric asthma care in ED.